Published Articles

Research Authors

Articles by the author:

Paul D. McNicholas

Peer Reviewed Paper

Handling missing data in consumer hedonic tests arising from direct scaling

November 15, 2016
Workshop

Appropriate Methods of Imputation for Consumer Hedonic Data

July 29, 2016
Peer Reviewed Paper

Product selection for liking studies: the sensory-informed design

September 22, 2015
Poster

Meta-attributes in sensory descriptive analysis

August 23, 2015
Poster

A markov model for Temporal Dominance of Sensations (TDS) data

August 23, 2015
Oral Presentation

Combining highly efficient methods can reduce costs without compromise

September 17, 2014
Tutorial

The Role of Imputation in Clustering BIB Data

July 28, 2014
Poster

A preliminary review of multiple group Principal Component Analysis for descriptive sensory data

August 20, 2013
Oral Presentation

Sensory informed design: An effective clustering of incomplete block consumer data

August 11, 2013
Poster

Designing a consumer liking study using prior sensory information: consumer segments and liking drivers from a study using a designed incomplete block design

September 20, 2012
Poster

Using sensory testing to optimize foods and beverage products for an export market

August 5, 2012
Oral Presentation

Sensory Informed Incomplete Block Designs

July 13, 2012
Oral Presentation

A New Method for Analyzing Time Intensity Curves

July 12, 2012
Poster

A new method for analyzing time intensity curves based on the gamma distribution

May 27, 2012
Oral Presentation

Refinement of a statistical framework for an own-brand large-scale consumer quality program

September 4, 2011
Poster

Distribution assumptions underlying consumer testing

June 11, 2011
Oral Presentation

The effect of an incomplete block design on consumer segmentation

July 25, 2010
Poster

Segmentation of BIB consumer liking of high-fatigue products: Sensory confirmation of statistical methods

July 26, 2009